Portfolio
Selected work showing how field data, Earth observation, soil spectroscopy, machine learning, and decision-support interfaces can be combined into practical environmental intelligence workflows.
- All
- Agriculture
- Earth Observation
- AI & LLM
- Environment
TerraFed
Privacy-preserving federated learning and GeoAI workflow for collaborative soil mapping, carbon and texture monitoring, and dashboard-ready outputs.
Lab Protocols & Pipelines
Reproducible soil spectroscopy and spectral-quality workflows supporting consistent model development, filtering, and cross-dataset analysis.
GaiaBot
Conversational environmental assistant connecting Earth observation layers, field context, and trusted references to support practical agricultural and soil-management decisions.
Field Sampling
Ground-truth field campaigns for soil, water, carbon, drone-based mapping, and EO/ML model validation.
EO Dashboards
Interactive Web GIS and dashboard tools for soil monitoring, irrigation scheduling, and communication of EO-derived environmental indicators.
Multi-Sensor RobotDog Platform
Exploratory multi-sensor robotics platform integrating RGB, hyperspectral, LiDAR, and edge computing for agricultural mapping and field intelligence.